April 2019
Intermediate to advanced
544 pages
17h 29m
English
This chapter covers
Chapter 7 showed how convolutional neural nets can analyze a fragment or sentence all at once, keeping track of nearby words in the sequence by passing a filter of shared weights over those words (convolving over them). Words that occurred in clusters could be detected together. If those words jostled a little bit in position, the network could be resilient to it. Most importantly, concepts that appeared near to one another could have a big impact on the network. But what if you want to look at the bigger picture and consider those relationships over a longer ...